Management of SME's Semi Structured Data Using Semantic Technique

Management of SME's Semi Structured Data Using Semantic Technique

Saravjeet Singh, Jaiteg Singh
ISBN13: 9781522551911|ISBN10: 1522551913|EISBN13: 9781522551928
DOI: 10.4018/978-1-5225-5191-1.ch073
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MLA

Singh, Saravjeet, and Jaiteg Singh. "Management of SME's Semi Structured Data Using Semantic Technique." Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2018, pp. 1614-1637. https://doi.org/10.4018/978-1-5225-5191-1.ch073

APA

Singh, S. & Singh, J. (2018). Management of SME's Semi Structured Data Using Semantic Technique. In I. Management Association (Ed.), Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications (pp. 1614-1637). IGI Global. https://doi.org/10.4018/978-1-5225-5191-1.ch073

Chicago

Singh, Saravjeet, and Jaiteg Singh. "Management of SME's Semi Structured Data Using Semantic Technique." In Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1614-1637. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5191-1.ch073

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Abstract

Management of data for an organization is crucial task but when data goes to its complex form then it becomes multifaceted as well as vital. In today era most of the organizations generating semi structured or unstructured data that requires special techniques to handle and manage. With the needs to handle unstructured data, semantic web technology provides a way to come up with the effective solution. In this chapter Synthetic Semantic Data Management (SSDM) is explained that is based semantic web technique and will helps to manage data of small and Midsized Enterprise (SME). SSDM provide the procedure to handle, store, manages and retrieval of semi structured data.

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